IEEE Transactions on Smart Grid · 2015 · 26 citations · 13 references
EngineeringComputer ScienceElectrical EngineeringComputer NetworksOptimizationPower ElectronicsData CompressionInteger ProgrammingPower SystemsSmart Grid SystemsSmart GridsBinary SearchCommunication MinimizationCompression AlgorithmsCompression TechniquesInteger Linear ProgrammingLinear Integer OptimizationPower System OptimizationWide-area Monitoring
Phasor measurement units (PMUs) are time-synchronous measuring devices that acquire highly accurate phasor data at high frequency. They are the core components in wide-area measurement systems for smart grid monitoring, protection, and control. However, they do generate much data and create a heavy burden on the communication network. One of the most practical ways of alleviating this problem is to install phasor data compression units (PDCUs) across the power system to concentrate PMU data and reduce total data traffic. These PDCUs implement hardware-based compression algorithms and, therefore, will incur minimum communication delays while significantly reducing the overall traffic generated by PMU. Since these PDCUs are pieces of hardware to be installed, given a target traffic reduction rate, it is economical to decide the optimal deployment of PDCUs. We will call this the optimal PDCU installation (OPI) problem. In this paper, we first introduce the functionality of PDCU and then give a generalized OPI formulation. We also provide an extra OPI formulation that fits under the integer linear programming framework and introduce a binary search algorithm to efficiently solve it. The OPI solutions for the IEEE 30-bus, 57-bus, 118-bus, and 300-bus systems are provided in this paper.
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